An open standard for sharing disease and phenotype information will improve our ability to understand, diagnose, and treat both rare and common diseases. A PhenoPacket links detailed phenotype descriptions with disease, patient, and genetic information, enabling clinicians, biologists, and disease and drug researchers to build more complete models of disease. The standard is designed to encourage wide adoption and synergy between the people, organizations and systems that comprise the joint effort to address human disease and biological understanding.
PhenoPackets is an evolving standard jointly developed by researchers, clinicians, curators and authors. Journals, model organism databases, medical data repositories and commercial efforts are encouraged to adopt PhenoPackets as a way to improve their use and publication of detailed and computable characterizations of disease. This will enable new modes of treatment and drug discovery, including translational research, precision medicine, and automated pipelines revealing knowledge in existing publications and databases.
Using PhenoPackets to communicate bioinformation ensures that knowledge is liberated and useable by the existing and nascent computational pipelines, databases and journals. This enables new possibilities for research, diagnosis and treatment. Some of the features of PhenoPackets are listed below.
Source code and examples of PhenoPackets technology may be found in the following GitHub repositories:
A Google Summer of Code 2016 Project, the PhenoPacket Scraper, extracts ontology-linked phenopackets from published journal abstracts.
PhenoPackets were designed by, and intended to be used by, the diverse community of researchers, data modelers, computer scientists, bioinformaticians, environmental scientists, and clinicians dedicated to maximizing the value of existing and new data.Details